Show simple item record

dc.contributor.authorPapazafeiropoulos, Anastasios
dc.contributor.authorKourtessis, Pandelis
dc.contributor.authorNtontin, Konstantinos
dc.contributor.authorChatzinotas, Symeon
dc.date.accessioned2022-09-09T13:15:04Z
dc.date.available2022-09-09T13:15:04Z
dc.date.issued2022-06-30
dc.identifier.citationPapazafeiropoulos , A , Kourtessis , P , Ntontin , K & Chatzinotas , S 2022 , ' Joint Spatial Division and Multiplexing for FDD in Intelligent Reflecting Surface-assisted Massive MIMO Systems ' , IEEE Transactions on Vehicular Technology , pp. 1-16 . https://doi.org/10.1109/TVT.2022.3187656
dc.identifier.issn0018-9545
dc.identifier.otherPURE: 27967900
dc.identifier.otherPURE UUID: 87aa82dd-1581-4837-a97a-57fcc1b2e6ea
dc.identifier.otherScopus: 85133783760
dc.identifier.otherORCID: /0000-0003-1841-6461/work/118756300
dc.identifier.urihttp://hdl.handle.net/2299/25756
dc.description© 2022 IEEE - All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://10.1109/TVT.2022.3187656
dc.description.abstractIntelligent reflecting surface (IRS) is a promising technology to deliver the higher spectral and energy requirements in fifth-generation (5G) and beyond wireless networks while shaping the propagation environment. Such a design can be further enhanced with massive multiple-input-multiple-output (mMIMO) characteristics towards boosting the network performance. However, channel reciprocity, assumed in 5G systems such as mMIMO, appears to be questioned in practice by recent studies on IRS. Hence, contrary to previous works, we consider frequency division duplexing (FDD) to study the performance of an IRS-assisted mMIMO system. However, FDD is not suitable for large number of antennas architectures. For this reason we employ the joint spatial division and multiplexing (JSDM) approach exploiting the structure of the correlation of the channel vectors to reduce the channel state information (CSI) uplink feedback, and thus, allowing the use even of a large number of antennas at the base station. JSDM entails dual-structured precoding and clustering the user equipments (UEs) with the same covariance matrix into groups. Specifically, we derive the sum spectral efficiency (SE) based on statistical CSI in terms of large-scale statistics by using the deterministic equivalent (DE) analysis while accounting for correlated Rayleigh fading. Subsequently, we formulate the optimization problem concerning the sum SE with respect to the reflecting beamforming matrix (RBM) and the total transmit power, which can be performed at every several coherence intervals by taking advantage of the slow-time variation of the large-scale statistics. This notable property contributes further to the decrease of the feedback overhead. Numerical results, verified by Monte-Carlo (MC) simulations, enable interesting observations by elucidating how fundamental system parameters such as the rank of the covariance matrix and the number of groups of UEs affect the performance. For example, the selection of a high rank improves the channel conditioning but increases the feedback overhead.en
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Vehicular Technology
dc.subject5G mobile communication
dc.subjectachievable spectral efficiency
dc.subjectArray signal processing
dc.subjectbeyond 5G networks
dc.subjectCovariance matrices
dc.subjectdeterministic equivalents
dc.subjectfrequency division duplexing (FDD)
dc.subjectIntelligent reflecting surface (IRS)
dc.subjectMultiplexing
dc.subjectOptimization
dc.subjectPrecoding
dc.subjectRayleigh channels
dc.subjectAutomotive Engineering
dc.subjectAerospace Engineering
dc.subjectElectrical and Electronic Engineering
dc.subjectApplied Mathematics
dc.titleJoint Spatial Division and Multiplexing for FDD in Intelligent Reflecting Surface-assisted Massive MIMO Systemsen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85133783760&partnerID=8YFLogxK
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/TVT.2022.3187656
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record